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Mahmoud Al-Sarayreh
Mahmoud Al-Sarayreh
German Jordanian University
Подтвержден адрес электронной почты в домене gju.edu.jo - Главная страница
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Процитировано
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Potential of deep learning and snapshot hyperspectral imaging for classification of species in meat
M Al-Sarayreh, MM Reis, WQ Yan, R Klette
Food Control 117, 107332, 2020
1092020
Detection of red-meat adulteration by deep spectral–spatial features in hyperspectral images
M Al-Sarayreh, M M. Reis, W Qi Yan, R Klette
Journal of Imaging 4 (5), 63, 2018
952018
Chemometrics and hyperspectral imaging applied to assessment of chemical, textural and structural characteristics of meat
MM Reis, R Van Beers, M Al-Sarayreh, P Shorten, WQ Yan, W Saeys, ...
Meat science 144, 100-109, 2018
732018
Identification of weeds based on hyperspectral imaging and machine learning
Y Li, M Al-Sarayreh, K Irie, D Hackell, G Bourdot, MM Reis, K Ghamkhar
Frontiers in Plant Science 11, 611622, 2021
582021
A global calibration model for prediction of intramuscular fat and pH in red meat using hyperspectral imaging
Y Dixit, M Al-Sarayreh, CR Craigie, MM Reis
Meat Science 181, 108405, 2021
452021
Hyperspectral imaging and deep learning for quantification of Clostridium sporogenes spores in food products using 1D-convolutional neural networks and random forest model
A Soni, M Al-Sarayreh, MM Reis, G Brightwell
Food Research International 147, 110577, 2021
422021
Deep spectral-spatial features of snapshot hyperspectral images for red-meat classification
M Al-Sarayreh, MM Reis, WQ Yan, R Klette
2018 international conference on image and vision computing New Zealand …, 2018
372018
A sequential CNN approach for foreign object detection in hyperspectral images
M Al-Sarayreh, MM Reis, WQ Yan, R Klette
Computer Analysis of Images and Patterns: 18th International Conference …, 2019
342019
Reducing the pain: A novel tool for efficient ground-truth labelling in images
CJ Rapson, BC Seet, MA Naeem, JE Lee, M Al-Sarayreh, R Klette
2018 international conference on image and vision computing New Zealand …, 2018
192018
Detection of adulteration in red meat species using hyperspectral imaging
M Al-Sarayreh, MM Reis, WQ Yan, R Klette
Pacific-Rim Symposium on Image and Video Technology, 182-196, 2017
152017
Inverse design and ai/deep generative networks in food design: a comprehensive review
M Al-Sarayreh, MG Reis, A Carr, MM dos Reis
Trends in Food Science & Technology 138, 215-228, 2023
142023
A critical review of social media research in sensory-consumer science
SC Hutchings, Y Dixit, M Al-Sarayreh, DD Torrico, CE Realini, SR Jaeger, ...
Food Research International 165, 112494, 2023
142023
Identification of cold spots using non-destructive hyperspectral imaging technology in model food processed by coaxially induced microwave pasteurization and sterilization
A Soni, M Al-Sarayreh, MM Reis, J Smith, K Tong, G Brightwell
Foods 9 (6), 837, 2020
102020
Hyperspectral imaging and deep learning for food safety assessment
M Al-Sarayreh
Auckland University of Technology, 2020
72020
M., Qi Yan, W., & Klette, R.(2018). Detection of Red-Meat Adulteration by Deep Spectral–Spatial Features in Hyperspectral Images
M Al-Sarayreh, M Reis
Journal of Imaging 4 (5), 63, 0
5
The potential of deep learning to counter the matrix effect for assessment of honey quality and monoflorality
HTD Truong, M Al-Sarayreh, P Reddy, MM Reis, R Archer
Microchemical Journal 204, 111200, 2024
12024
Classification of tree symbiotic fungi based on hyperspectral imagery and hybrid convolutional neural networks
Z Liu, M Al-Sarayreh, Y Li, Z Yuan
Frontiers in Forests and Global Change 6, 105, 2023
12023
A rapid method of hypercube stitching for snapshot multi-camera system
Y Dixit, M Al-Sarayreh, C Craigie, MM Reis
2020 35th International Conference on Image and Vision Computing New Zealand …, 2020
12020
Detection and spatial analysis of fairy circles
M Al-Sarayreh, Z Moayed, B Bollard-Breen, JB Ramond, R Klette
2016 International Conference on Image and Vision Computing New Zealand …, 2016
12016
Hyperspectral imaging combined with chemometrics
MM Reis, M Al-Sarayreh
Chemometrics, 61-88, 2024
2024
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